About the RoleWe are looking for detail-oriented Video Annotators to support a Vision-Language-Action (VLA) dataset project. In this role, you will watch short video clips of physical tasks/activities and produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the action taking place in each segment.Key Responsibilities- Watch assigned videos in full before beginning annotation to understand the overall task and context.- Segment each video into discrete, logical steps/events based on visible action boundaries.- Write clear, concise, and grammatically correct step-by-step descriptions (instructions) for each segment, accurately reflecting what is happening on screen.- Ensure annotations are action-oriented, unambiguous, and consistent in tense, tone, and phrasing across the dataset.- Assign accurate start and end timestamps for each segment.- Follow annotation guidelines, taxonomies, and style guides provided by the project team.- Flag videos that are unclear, corrupted, mislabeled, or otherwise unsuitable for annotation.- Participate in calibration sessions and incorporate reviewer/QA feedback to improve annotation quality and consistency.- Meet daily/weekly productivity and quality targets without compromising accuracy.- Maintain confidentiality of all project data and materials.Required Qualifications- English Proficiency: C1 level (CEFR) or above — required. Robust command of grammar, vocabulary, and sentence construction is essential,



as output quality directly depends on writing clarity.- Excellent attention to detail and ability to spot subtle changes in visual scenes.- Strong written communication skills; ability to describe actions concisely and precisely.- Comfort working with video-based tools and annotation software (training provided).- Ability to work independently, follow detailed guidelines, and maintain consistency over repetitive tasks.- Reliable internet connection and access to a computer with a modern browser.- Basic computer literacy (file handling, web-based tools, spreadsheets).Preferred Qualifications- Prior experience in data annotation, labeling, transcription, or content moderation.- Familiarity with AI/ML concepts, especially computer vision, NLP, or robotics datasets.- Experience writing instructional or procedural content (e.g., how-to guides, SOPs, recipes).- Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).What We're Looking For- A sharp eye for detail and a passion for precision in written language.- Someone who can watch an activity and translate it into clear, step-by-step written instructions a person (or a machine) could follow.- A self-starter who is comfortable with repetitive, focused work and iterative feedback.Evaluation / Selection Process- English proficiency assessment (C1 level verification)- Annotation skills test (sample video segmentation + step-writing task)- Interview / calibration round- Onboarding and guideline training

📌 Video Annotator (Bhopal)
🏢 CNTXT AI
📍 Bhopal